mcvaluation | Monte Carlo valuation app is a Streamlit web application

by julianmarx Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | mcvaluation Summary

mcvaluation is a Python library. mcvaluation has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

The Monte Carlo valuation app is a Streamlit web application. The app uses a probabilistic approach to company valuation. After the user of the app has entered a stock ticker, the application pulls financial information from Yahoo Finance to provide historical financial figures on important inputs to the valuation model. After specifying the distributions of the five main input variables, the application calculates the company values repeatedly drawing from the provided random distributions. Subsequently, the simulation the application provides investors with a range of potential equity values of the company that is being analyzed.

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Support

mcvaluation has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

mcvaluation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mcvaluation is current.

Quality

mcvaluation has no bugs reported.

Security

mcvaluation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

mcvaluation is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

mcvaluation releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed mcvaluation and discovered the below as its top functions. This is intended to give you an instant insight into mcvaluation implemented functionality, and help decide if they suit your requirements.

Compute discounted cash flows
Returns a pandas DataFrame for a free cash flow
Format a number
Calculates free cash flow for a given parameter list
Calculates the value distribution between two parameters
Return company data

Get all kandi verified functions for this library.

mcvaluation Key Features

No Key Features are available at this moment for mcvaluation.

mcvaluation Examples and Code Snippets

No Code Snippets are available at this moment for mcvaluation.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mcvaluation

You can download it from GitHub.
You can use mcvaluation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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